Название: Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits
Автор: Pranesh Santikellur, Rajat Subhra Chakraborty
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

The book discusses a broad overview of traditional Machine Learning (ML) methods and state-of-the-art Deep Learning (DL) practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced Machine Learning techniques such as support vector machines, logistic regression, neural networks, and Deep Learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of Machine Learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.

Название: Обучение с подкреплением для реальных задач. Инженерный подход
Автор: Уиндер Фил
Издательство: БXB
Год: 2023
Формат: PDF
Страниц: 400
Размер: 36,3 Mb
Язык: Русский

Книга посвящена промышленно-ориентированному применению обучения с подкреплением (Reinforcement Learning, RL). Объяснено, как обучать промышленные и научные системы решению любых пошаговых задач методом проб и ошибок – без подготовки узкоспециализированных учебных множеств данных и без риска переобучить или переусложнить алгоритм.

Название: Алгоритмы. Руководство по разработке. 3-е изд
Автор: Стивен Скиена
Издательство: БXB
Год: 2022
Формат: PDF
Страниц: 862
Размер: 106 Mb
Язык: Русский

Книга является наиболее полным руководством по разработке эффективных алгоритмов. Первая часть книги содержит практические рекомендации по разработке алгоритмов: приводятся основные понятия, дается анализ алгоритмов, рассматриваются типы структур данных, основные алгоритмы сортировки, операции обхода графов и алгоритмы для работы со взвешенными графами, примеры использования комбинаторного поиска, эвристических методов и динамического программирования. Вторая часть книги содержит обширный список литературы и каталог из 75 наиболее распространенных алгоритмических задач, для которых перечислены существующие программные реализации.

Название: Go Cookbook: Expert Solutions for Commonly Needed Go Tasks (Third Early Release)
Автор: Sau Sheong Chang
Издательство: O’Reilly Media, Inc.
Год: 2022-09-16
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Go is an increasingly popular language for programming everything from web applications to distributed network services. This practical guide provides recipes to help you unravel common problems and perform useful tasks when working with Go. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Programmers new to Go can quickly ramp up their knowledge while accomplishing useful tasks, and experienced Go developers can save time by cutting and pasting proven code directly into their applications.

Название: Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual Modeling
Автор: Barclay R. Brown
Издательство: Wiley
Год: 2023
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems. As Artificial Intelligence (AI) and Machine Learning (ML) technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI.

Название: Node.js: The Comprehensive Guide to Server-Side jаvascript Programming
Автор: Sebastian Springer
Издательство: Rheinwerk Computing
Год: 2022
Страниц: 834
Язык: английский
Формат: epub (true)
Размер: 10.3 MB

If you’re developing server-side jаvascript applications, you need Node.js! Start with the basics of the Node.js environment: installation, application structure, and modules. Then follow detailed code examples to learn about web development using frameworks like Express and Nest. Learn about different approaches to asynchronous programming, including RxJS and data streams. Details on peripheral topics such as testing, security, performance, and more, make this your all-in-one daily reference for Node.js!

Название: IoT System Testing: An IoT Journey from Devices to Analytics and the Edge
Автор: Jon Duncan Hagar
Издательство: Apress
Год: 2022
Страниц: 323
Язык: английский
Формат: pdf (true), epub
Размер: 27.2 MB

To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI.

Название: AI Time Series Control System Modelling
Автор: Chuzo Ninagawa
Издательство: Springer
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 44.1 MB

This book describes the practical application of Artificial Intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods".

Название: FastAPI: Modern Python Web Development (Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2022-09-14
Язык: английский
Формат: epub
Размер: 10.1 MB

FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Supplemental material (code examples, exercises, etc.) is available for download at GitHub.

Название: Hybrid Intelligent Systems for Information Retrieval
Автор: Anuradha D. Thakare, Shilpa Laddha, and Ambika Pawar
Издательство: CRC Press
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. This book covers the architectures of modern information systems pertaining to structured and unstructured data retrieval, and there is a detailed discussion on how to develop computational models for retrieval systems. It describes evolutionary approaches for optimal information retrieval and the design of hybrid intelligent information retrieval systems for various applications. The focus is on three key areas: Optimality in Information Retrieval with Evolutionary Algorithms, Semantic Web Information Retrieval, and Natural Language Processing for Information Retrieval. Deep learning methods have proven applicability in information retrieval (IR). Deep learning models eliminate human bias for feature or relevance measure and make it more efficient. Deep learning has a lot of potential to improvise IR. Recurrent neural networks (RNNs) are highly efficient with an internal memory, and it has the most promising algorithms.